Micro-LED displays have been recognized as one of the most promising technologies for the
next-generation displays. This review focuses on the pixel-driving technology of micro-LED …

Rapid development of artificial intelligence techniques ignites the emerging demand on
accurate perception and understanding of optical signals from external environments via …

We demonstrate the hardware implementation of spiking neural network (SNN) with synaptic
transistors and neuron circuits. The method of conversion from software fully-connected …

Brain-inspired neuromorphic systems have attracted much attention as new computing
paradigms for power-efficient computation. Here, we report a silicon synaptic transistor with …

As interest in artificial intelligence (AI) and relevant hardware technologies has been
developed rapidly, algorithms and network structures have become significantly …

We perform a system-level simulation of hardware spiking neural network (SNN) consisting
of silicon-based synaptic transistors and integrate-and-fire (I&F) neuron circuits. Using …

Recently memristors have emerged as a form of nonvolatile memory that is based on the
principle of ion transport in solid electrolytes under the impact of an external electric field. It …

In this work, we fabricated a dual gate positive feedback field-effect transistor (FBFET)
integrated with CMOS. We investigated the DC and transient characteristics of the FBFET …

The pure circuit implementation of STDP is a worthwhile work. In this study, a novel spiking
neuron circuit and STDP learning circuit based on memristors are designed. The proposed …

To improve the electrical characteristics of an analog indium–gallium–zinc oxide (IGZO)
memristor, two kinds of IGZO memristive device with different electrode materials were …